Apache Spark vs Tableau Online

Likelihood to Recommend

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.

Read full review

Thomas Young

Owner, previous CEO

Econometric StudiosFinancial Services, 11-50 employees

View all 15 answers on this topic

Tableau is very well suited for large organizations because of its cost. It has a great visual design. It is particularly useful when there is data integration with other software required. Dashboards come out very well in such cases and help make sense out of data. These dashboards are used on a frequent basis once a baseline or a parameter is defined. Trend analysis and forecasting are a key to using this software and this is where it comes in very handy.

Read full review

Kruti Vaidya

Financial Analyst

Bank of America Merrill LynchFinancial Services, 10,001+ employees

View all 41 answers on this topic

Feature Rating Comparison

Apache Spark

Tableau Online

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

Apache Spark

Customizable Platform (Open Source)

Pros

Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
Faster in execution times compare to Hadoop and PIG Latin
Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
Interoperability between SQL and Scala / Python style of munging data

Read full review

Nitin Pasumarthy

Software Engineer

LinkedInInternet, 5001-10,000 employees

View all 15 answers on this topic

Software is compatible with numerous interfaces, making it quite scalable.
Robust visualization feature set -- perhaps even industry leading.
Graphs are dynamic and intuitive to use which helps organizations focus on what really matters -- making the right decision at the right time.
Intuitive user interface helps analysts quickly setup scalable reports.

Read full review

Verified User

Executive in Finance and Accounting

Internet Company, 1001-5000 employees

View all 41 answers on this topic

Cons

Memory management. Very weak on that.
PySpark not as robust as scala with spark.
spark master HA is needed. Not as HA as it should be.
Locality should not be a necessity, but does help improvement. But would prefer no locality

Read full review

Anson Abraham

Data Czar

Envisagenics, Inc.Marketing and Advertising, 51-200 employees

View all 15 answers on this topic

I'm not sure if this is standard for everyone but our Tableau is updated twice a week so the information may not be the most up-to-date possible.
There's no search function in the tool which would help me a lot if I am seeking information about a specific item.
There are frequent software updates which require you to completely reinstall everything.

Read full review

Verified User

Employee in Product Management

Retail Company, 201-500 employees

View all 41 answers on this topic

Usability

No score

No answers yet

No answers on this topic

Ask the community to sound off

Tableau Online 8.2

Based on 1 answer

Simple, easy and straighforward interface.

Read full review

Phil Dana, PMOC

Business Development Director, Global Government Customer Solutions

Dun & Bradstreet CanadaInformation Services, 51-200 employees

View all 1 answers on this topic

Alternatives Considered

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.

Read full review

Verified User

Engineer in Engineering

Computer Software Company, 51-200 employees

View all 15 answers on this topic

Both Tableau Online and BI solutions provide visualizations. In Power BI we choose the visualization first, then drag the data into it. In Tableau, we select the data and switch between visualizations on the fly. It’s easier to jump between visualizations in Tableau. Power BI might be sluggish when working with extremely large datasets whereas Tableau online has an advantage in this area due to its extensive features.Power BI doesn’t have the ability to publish reports with all associated data which means some information can be left out of visualizations whereas Tableau online has a steep learning curve and flexible features.

Read full review

Verified User

Manager in Quality Assurance

Banking Company, 1001-5000 employees

View all 41 answers on this topic

Return on Investment

It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.

Read full review

Carla Borges

Consultor Tecnico - Java Developer and Php Developer.

Consultec-TIComputer Software, 51-200 employees

View all 15 answers on this topic

No answers on this topic

Ask the community to sound off

Likelihood to Recommend

Apache Spark

Tableau Online

Feature Rating Comparison

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

Drill-down analysis

Formatting capabilities

Integration with R or other statistical packages

Report sharing and collaboration

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Delivery to Remote Servers

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Single Sign-On (SSO)

Responsive Design for Web Access

Dedicated iOS Application

Dedicated Android Application

Dashboard / Report / Visualization Interactivity on Mobile

REST API

Javascript API

iFrames

Java API

Themeable User Interface (UI)

Customizable Platform (Open Source)

Pros

Apache Spark

Tableau Online

Cons

Apache Spark

Tableau Online

Usability

Apache Spark

Tableau Online

Alternatives Considered

Apache Spark

Tableau Online

Return on Investment

Apache Spark

Tableau Online

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Rating Summary

Add comparison